At a Glance
- Tasks: Join client projects and develop skills in AI, ML, and cloud software engineering.
- Company: Reply, a forward-thinking tech company committed to diversity and innovation.
- Benefits: Extensive training, certifications, and hands-on experience with expert consultants.
- Other info: Exciting opportunities for growth in a dynamic and inclusive environment.
- Why this job: Kickstart your career in tech with a structured programme and real-world impact.
- Qualifications: Bachelor's degree in a technology-related field required.
The predicted salary is between 28000 - 38000 € per year.
Reply is offering a Graduate Academy position in Manchester for 2026, focusing on Artificial Intelligence, Machine Learning, and Software Engineering. Candidates will receive extensive training in cloud services, gain certifications including AWS and HashiCorp, and work alongside expert consultants. This structured programme is geared towards those with a Bachelor's degree in a technology-related field. The role includes responsibilities in client projects across various sectors, with a commitment to diversity and equal opportunities.
Graduate AI/ML & Cloud Software Engineer employer: Reply
Reply is an exceptional employer, offering a dynamic Graduate Academy programme in Manchester that empowers aspiring AI/ML and Cloud Software Engineers with comprehensive training and industry-recognised certifications. Our inclusive work culture fosters collaboration and innovation, while providing ample opportunities for personal and professional growth through hands-on experience in diverse client projects across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI/ML & Cloud Software Engineer
✨Tip Number 1
Network like a pro! Connect with professionals in AI, ML, and cloud services on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and ML. This can be a game-changer during interviews, proving you’ve got the chops for the role.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by solving coding challenges and brushing up on algorithms. We recommend platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored for graduates like us.
We think you need these skills to ace Graduate AI/ML & Cloud Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Graduate AI/ML & Cloud Software Engineer role. Highlight any relevant projects or coursework that showcase your tech knowledge, especially in AI, ML, and cloud services.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and software engineering. Share specific examples of your work or studies that demonstrate your enthusiasm and fit for the role.
Showcase Your Technical Skills:Don’t forget to mention any programming languages or tools you’re familiar with, especially those related to AI and cloud computing. If you've got certifications or have completed relevant courses, make sure they stand out!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Reply
✨Know Your Tech
Make sure you brush up on your knowledge of AI, ML, and cloud services. Familiarise yourself with the latest trends and technologies in these areas, as well as any relevant certifications like AWS and HashiCorp. This will show your passion and readiness for the role.
✨Showcase Your Projects
Prepare to discuss any projects you've worked on during your studies or internships that relate to software engineering or AI/ML. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This practical experience can really set you apart.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the Graduate Academy programme, the team you'll be working with, and the types of client projects you might encounter. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Embrace Diversity
Since the role emphasises diversity and equal opportunities, be prepared to discuss how you value different perspectives and experiences. Share examples of how you've worked in diverse teams or how you approach collaboration with people from various backgrounds.
